All Algorithms implemented in Python

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

DSPy: The framework for programming—not prompting—language models

A Python framework for high performance GPU simulation and graphics

Isaac Gym Reinforcement Learning Environments

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

Research workflows made easy, locally and in the Cloud.

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down

Python script to download all of your student data from Canvas LMS

Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/

ReSkin Sensor Interfacing Library

Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Wrappers and utilities for Nvidia IsaacGym